Michael Nixon

433 citations
33 papers · 230 · h-index 6

Impact in

Papers in

Michael Nixon

28 papers receiving 203 citations

Peers

Michael Nixon
Comparison fields: 5 of 101
  • Development 18
  • Biochemistry 28
  • Political Science and International Relations 84
  • Hematology 25
  • Transportation 7
Replace Marcelo Fernandes de Oliveira with:
Marcelo Fernandes de Oliveira Brazil
Qingjie Zeng China
Valeria Fedeli Italy
William L. Blackwell United States
Tanushree Haldar India
Leonard S. Spector United States
Katherine L. Herbig United States
Maria Weimer Netherlands
Roberto Alibonï United States
Ash Rossiter United Arab Emirates
Michael Nixon relative to Marcelo Fernandes de Oliveira Brazil Marcelo Fernandes de Oliveira's profile →
Citations per field
00.5×9.3×
Marcelo Fernandes de Oliveira · 1×
Citations per year

Countries citing papers authored by Michael Nixon

Since Specialization
Citations

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

Fields of papers citing papers by Michael Nixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 197963
3 202221
4 201718
5 20226
6 20206
7 20235
8 20185
9 20135
10 20244
11 20223
12 20143
13
The U.S.-China Military Scorecard
20153
14 20242
15 20162
16 20182
17 20162
18 20141
19 20141
20
Basics of nonverbal communication in virtual worlds
20141

About Michael Nixon

Michael Nixon is a scholar working on Political Science and International Relations, Economics and Econometrics, Hematology, Molecular Biology and Sociology and Political Science, having authored 33 papers that have together received 230 indexed citations. Recurring topics across this work include Defense, Military, and Policy Studies (8 papers), Military and Defense Studies (6 papers), Multiple Myeloma Research and Treatments (6 papers), Digital Games and Media (4 papers), Protein Degradation and Inhibitors (3 papers), Nuclear Issues and Defense (3 papers), International Relations and Foreign Policy (3 papers) and Artificial Intelligence in Games (2 papers). The work is most often cited by research in Development (18 citations), Biochemistry (28 citations), Political Science and International Relations (84 citations), Hematology (25 citations) and Transportation (7 citations). Michael Nixon has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Samuel H.P. Chan, Forrest Morgan, Eric Heginbotham, Lyle J. Morris, David R. Frelinger, David A. Shlapak, Kyle Brady, Martin C. Libicki, P.M. DeLuca and Michael H. Chase. Their work appears in journals such as Blood, Canadian Journal of Anesthesia/Journal canadien d anesthésie, Blood Cancer Journal, Nature Communications and Analytical Biochemistry.

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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