Mark Steven Ackerman

13.6k citations
194 papers · 9.9k · 3 hit papers · h-index 51

Impact in

Papers in

Mark Steven Ackerman

187 papers receiving 9.1k citations

Mark Steven Ackerman's Hit Papers

Soylent 2010 · 564 citations
5640+6+12Years since publication200400600

Peers

Mark Steven Ackerman
Comparison fields: 5 of 143
  • Computer Science Applications 2.5k
  • Human-Computer Interaction 1.9k
  • Communication 1.7k
  • Information Systems and Management 1.4k
  • Information Systems 3.5k
Replace Mary Beth Rosson with:
Mary Beth Rosson United States
Michael J. Muller United States
Peter L. T. Pirolli United States
Rebecca E. Grinter United States
David H. Jonassen United States
Chin‐Chung Tsai Taiwan
Loren Terveen United States
Laura Dabbish United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Steven Ackerman

Since Specialization
Citations

This map shows the geographic impact of Mark Steven Ackerman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Steven Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Steven Ackerman more than expected).

Fields of papers citing papers by Mark Steven Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Steven Ackerman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Steven Ackerman. The network helps show where Mark Steven Ackerman may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Steven Ackerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Steven Ackerman Line = papers co-authored together Mark Steven Ackerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000626
2
Expertise networks in online communities
Hit paper breakdown →
2007620
3
Knowledge sharing and yahoo answers
Hit paper breakdown →
2008574
4
Soylent
Hit paper breakdown →
2010564
5 2004426
6 1999422
7 2000342
8 1996238
9 1998223
10 1994194
11 2009183
12 2004183
13 1990181
14 1998176
15 2013172
16 1990161
17 2008148
18 1998143
19 2000118
20 2017112

About Mark Steven Ackerman

Mark Steven Ackerman is a scholar working on Human-Computer Interaction, Communication, Information Systems and Management, Information Systems and Computer Science Applications, having authored 194 papers that have together received 9.9k indexed citations. Recurring topics across this work include Knowledge Management and Sharing (30 papers), Innovative Human-Technology Interaction (29 papers), Personal Information Management and User Behavior (27 papers), Usability and User Interface Design (22 papers), Expert finding and Q&A systems (21 papers), Team Dynamics and Performance (15 papers), Mobile Crowdsensing and Crowdsourcing (14 papers) and Information Systems Theories and Implementation (14 papers). The work is most often cited by research in Computer Science Applications (2.5k citations), Human-Computer Interaction (1.9k citations), Communication (1.7k citations), Information Systems and Management (1.4k citations) and Information Systems (3.5k citations). Mark Steven Ackerman has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Lada A. Adamic, David W. McDonald, David R. Karger, Christine A. Halverson, Jun Zhang, Lorrie Faith Cranor, Joseph Reagle, Eytan Bakshy, Jun Zhang and Jaime B. Teevan. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Computer Supported Cooperative Work (CSCW), Human-Computer Interaction, Public Understanding of Science and Personal and Ubiquitous Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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