Diana L. Connor

1.5k citations
28 papers · 1.1k indexed · h-index 20

Diana L. Connor

28 papers receiving 1.1k citations

Peers

Diana L. Connor
Comparison fields: 5 of 115
  • Business and International Management 100
  • Modeling and Simulation 236
  • Health 416
  • Infectious Diseases 264
  • Management Information Systems 88
Replace Angela R. Wateska with:
Angela R. Wateska United States
Leila A. Haidari United States
Sheng-I Chen United States
Tina-Marie Assi United States
Michel Zaffran Switzerland
Rachel R. Bailey United States
Willem G. van Panhuis United States
Patrick Lydon Switzerland
Proma Paul United States
Souleymane Kone United States
Diana L. Connor relative to Angela R. Wateska United States Angela R. Wateska's profile →
Citations per field
00.5×1.5×
Angela R. Wateska · 1×
Citations per year

Countries citing papers authored by Diana L. Connor

Since Specialization
Citations

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

Fields of papers citing papers by Diana L. Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana L. Connor. 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 Diana L. Connor. The network helps show where Diana L. Connor may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201741
2 201711
3 201624
4 2016195
5 201534
6 201516
7 201473
8 201345
9 20134
10 201350
11 201310
12 201247
13 201230
14 201249
15 201119
16 201143
17 201147
18 201139
19 201169
20 201066

About Diana L. Connor

Diana L. Connor is a scholar working on Modeling and Simulation, Health and Business and International Management, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (16 papers), COVID-19 epidemiological studies (12 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vibrio bacteria research studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Pneumonia and Respiratory Infections (2 papers), Research on Leishmaniasis Studies (2 papers) and Innovation and Socioeconomic Development (2 papers). The work is most often cited by research in Business and International Management (100 citations), Modeling and Simulation (236 citations) and Health (416 citations). Diana L. Connor has collaborated with scholars based in United States, Switzerland and Thailand. Frequent co-authors include Bruce Y. Lee, Shawn T. Brown, Angela R. Wateska, Leila A. Haidari, Bryan A. Norman, Jayant Rajgopal, Joel Welling, Rachel R. Bailey, Kristina M. Bacon and Marie L. Spiker. Their work appears in journals such as PLoS ONE, American Journal of Public Health and BMC Public Health.

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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