Jeffrey W. Seifert

22 papers receiving 398 citations

Peers

Jeffrey W. Seifert
Comparison fields: 5 of 76
  • Political Science and International Relations 249
  • Sociology and Political Science 101
  • Artificial Intelligence 93
  • Media Technology 82
  • Information Systems 80
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Countries citing papers authored by Jeffrey W. Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey W. Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey W. Seifert. 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 Jeffrey W. Seifert. The network helps show where Jeffrey W. Seifert may publish in the future.

Co-authorship network of co-authors of Jeffrey W. Seifert

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey W. Seifert. A scholar is included among the top collaborators of Jeffrey W. Seifert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey W. Seifert. Jeffrey W. Seifert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Crs Report for Congress: Data Mining: An Overview: December 16, 2004 - Rl31798
6
3
Data Mining and Homeland Security: An Overview
32
4
Reauthorization of the E-Government Act: A Brief Overview
3
5 50
6 18
7
Data Mining and Homeland Security: An Overview [Updated December 5, 2007]
1
8
Comparing E-Government in the United States and China: Mobilizing Democracy or Empowering Government?
1
9
Congressional Continuity of Operations (COOP): An Overview of Concepts and Challenges
1
10 14
11
Data Mining: An Overview
63
12 24
13
“The Transformative Potential of IP Videoconferencing in Graduate Professional Education: Collaborative Learning in Japan, Russia, and the United States.”
3
14
A Primer on E-Government: Sectors, Stages, Opportunities, and Challenges of Online Governance
74
15
House of Representatives Information Technology Management Issues: An Overview of the Effects on Institutional Operations, the Legislative Process, and Future Planning
1
16 17
17
Electronic Congress: Proposals and Issues
1
18
Internet: An Overview of Key Technology Policy Issues Affecting Its Use and Growth
2
19 50
20 4

About Jeffrey W. Seifert

Jeffrey W. Seifert is a scholar working on Public Administration, Communication and Political Science and International Relations, having authored 25 papers that have together received 491 indexed citations. Recurring topics across this work include E-Government and Public Services (7 papers), Social Media and Politics (3 papers) and Public Policy and Administration Research (3 papers). The work is most often cited by research in Information Systems and Management (78 citations), Political Science and International Relations (249 citations) and Media Technology (82 citations). Jeffrey W. Seifert has collaborated with scholars based in United States, Tajikistan and South Korea. Frequent co-authors include Harold C. Relyea, Bruno Merz, Holger Maiwald, Annegret H. Thieken, Heidi Kreibich, Uwe Kunert, Matthias Müller, B. von Kuhlmann, Klaus Piroth and Jochen Schwarz. Their work appears in journals such as Government Information Quarterly, Social Science Computer Review and International Studies Perspectives.

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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