Lisa Bryant

802 citations
20 papers · 524 · h-index 9

Impact in

Papers in

Lisa Bryant

18 papers receiving 477 citations

Peers

Lisa Bryant
Comparison fields: 5 of 70
  • Accounting 196
  • Management Information Systems 114
  • Finance 108
  • Strategy and Management 152
  • Communication 42
Replace Andreas Madestam with:
Andreas Madestam Sweden
Dennis Taylor Australia
Sheila Ellwood United Kingdom
Deepika Nath United States
Stefan Markowski Australia
Marieke van Genugten Netherlands
Carmela Barbera Italy
Jas Gill United Kingdom
Craig S. Maher United States
Ellen Jonsson United States
Lisa Bryant relative to Andreas Madestam Sweden Andreas Madestam's profile →
Citations per field
00.5×5.6×
Andreas Madestam · 1×
Citations per year

Countries citing papers authored by Lisa Bryant

Since Specialization
Citations

This map shows the geographic impact of Lisa Bryant'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 Lisa Bryant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Bryant more than expected).

Fields of papers citing papers by Lisa Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Bryant. 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 Lisa Bryant. The network helps show where Lisa Bryant may publish in the future.

Co-authors

The 25 scholars most cited alongside Lisa Bryant, 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 Lisa Bryant Line = papers co-authored together Lisa Bryant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2004146
2 1998105
3 200982
4 200354
5 201043
6 201920
7 202017
8 201813
9 201111
10 20207
11 20206
12 20214
13 20194
14 20184
15
New Barriers to Participation: Application of New Mexico's Voter Identification Law
20073
16 20172
17
Voter Confidence and the Use of Absentee Ballots and Electronic Voting Equipment: An Experimental Study
20101
18 20091
19
Upland soil erosion monitoring and assessment
20111
20 20240

About Lisa Bryant

Lisa Bryant is a scholar working on Political Science and International Relations, Sociology and Political Science, Communication, Strategy and Management and Artificial Intelligence, having authored 20 papers that have together received 524 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (8 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Social Media and Politics (3 papers), Media Influence and Politics (2 papers), Primary Care and Health Outcomes (2 papers), Social Policy and Reform Studies (2 papers), Gender Politics and Representation (2 papers) and Auditing, Earnings Management, Governance (2 papers). The work is most often cited by research in Accounting (196 citations), Management Information Systems (114 citations), Finance (108 citations), Strategy and Management (152 citations) and Communication (42 citations). Lisa Bryant has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Sally K. Widener, Denise A. Jones, Robert C. Lipe, Lonna Rae Atkeson, Kyle L. Saunders, Thad E. Hall, Christopher Mann, Alauna Safarpour, Michael J. Hanmer and Neffra A. Matthews. Their work appears in journals such as American Politics Research, Electoral Studies, Political Behavior, Election Law Journal Rules Politics and Policy and Journal of Accounting and Economics.

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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