Dan Grove

1.4k citations
11 papers · 1.1k indexed · 1 hit paper · h-index 7

Dan Grove

11 papers receiving 1.0k citations

Hit Papers

Akaike Information Criterion Statistics.9881988202620002013250500750

Peers

Dan Grove
Comparison fields: 5 of 187
  • Statistics and Probability 118
  • Nature and Landscape Conservation 146
  • Ecological Modeling 45
  • Software 27
  • Ecology 178
Replace G. Kitagawa with:
G. Kitagawa Japan
Yoshitaka Sakamoto Japan
Makio Ishiguro Japan
Dennis D. Wackerly United States
Jerry L. Hintze United States
Tarald O. Kvålseth United States
Daniel G. Brooks United States
Peter Dalgaard Denmark
Gary E. Meek United States
Richard M. Heiberger United States
Dan Grove relative to G. Kitagawa Japan G. Kitagawa's profile →
Citations per field
00.5×1.5×
G. Kitagawa · 1×
Citations per year

Countries citing papers authored by Dan Grove

Since Specialization
Citations

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

Fields of papers citing papers by Dan Grove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside Dan Grove, 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 Dan Grove Line = papers co-authored together Dan Grove links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 19936
2 199339
3 19911
4 19917
5 198816
6 19883
7
Akaike Information Criterion Statistics.breakdown →
1988988
8 19841
9 19809
10 19809
11 197451

About Dan Grove

Dan Grove is a scholar working on Software, Urban Studies, Management Science and Operations Research, Computational Theory and Mathematics and Radiation, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (2 papers), Body Contouring and Surgery (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Optimal Experimental Design Methods (2 papers), Software Testing and Debugging Techniques (2 papers), Formal Methods in Verification (2 papers), Anomaly Detection Techniques and Applications (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Statistics and Probability (118 citations), Nature and Landscape Conservation (146 citations), Ecological Modeling (45 citations), Software (27 citations) and Ecology (178 citations). Dan Grove has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Yoshitaka Sakamoto, G. Kitagawa, Makio Ishiguro, Vic Barnett, Linda Torczon, Carole Roberts, R. D. Marangoni and Marc S. Schneider. Their work appears in journals such as Plastic & Reconstructive Surgery, Technometrics, ACM SIGPLAN Notices, Forensic Science International and Urban Studies.

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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