{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T18:00:25Z","timestamp":1758477625500,"version":"3.41.0"},"reference-count":9,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T00:00:00Z","timestamp":1498176000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGCAS Comput. Soc."],"published-print":{"date-parts":[[2017,6,23]]},"abstract":"<jats:p>Ensuring racial and ethnic diversity in any field including computer science research is important to maintain a positive and prosperous society. Policy makers and government at the national and international level can take appropriate actions and intervene to elevate minorities based on empirical evidence and facts. We present empirical evidence on scholarly paper contributions in the field of computer science by thirteen ethnic groups. We analyze authorship of thousands of papers from a well-known bibliographic database in computer science and various subfields of computer science such as data engineering, software engineering and theory. We present the extent of contribution of various ethnic groups for a period of 17 years and identify ethnic groups having low contribution. We provide answers to several research questions such as author ethnicity distribution across computer science papers, upward and downward trends across years, extent of gender imbalance and the percentage of most prolific authors across various ethnic groups.<\/jats:p>","DOI":"10.1145\/3112644.3112646","type":"journal-article","created":{"date-parts":[[2017,6,26]],"date-time":"2017-06-26T12:13:22Z","timestamp":1498479202000},"page":"5-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Minority ethnic groups in computer science research"],"prefix":"10.1145","volume":"47","author":[{"given":"Swati","family":"Agarwal","sequence":"first","affiliation":[{"name":"IIIT Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nitish","family":"Mittal","sequence":"additional","affiliation":[{"name":"Wadi.com, UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashish","family":"Sureka","sequence":"additional","affiliation":[{"name":"ABB Corporate Research Center, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,6,23]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2007.0213"},{"issue":"5","key":"e_1_2_1_2_1","first-page":"509","article-title":"\"Racial and ethnic diversity in the classroom: Does it promote student learning?","volume":"72","author":"Terenzini Patrick T","year":"2001","journal-title":"The Journal of Higher Education"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8683.00011"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11162-008-9114-7"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1187\/cbe.08-04-0018"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0147-1767(01)00032-3"},{"volume-title":"\"Examining diversity inequities in fisheries science: a call to action.\" BioScience","year":"2016","author":"Arismendi Ivan","key":"e_1_2_1_7_1"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2908216.2908218"},{"first-page":"49","volume-title":"Proceedings of the 15th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (Paris, France, June 28 - July 01, 2009). 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