NH Haskell

979 citations
8 papers · 751 · 1 hit paper · h-index 7

Impact in

    • Forensic Entomology and Diptera Studies
    • Insect Utilization and Effects
    • Insect and Pesticide Research
  • Archeology top 1%
    • Paleopathology and ancient diseases
    • Forensic Anthropology and Bioarchaeology Studies

Papers in

NH Haskell

8 papers receiving 691 citations

NH Haskell's Hit Papers

Using Accumulated Degree-Days to Estimate the Postmortem Interval from Decomposed Human Remains 2005 · 498 citations
4980+7+14Years since publication100200300400

Peers

NH Haskell
Comparison fields: 5 of 78
  • Insect Science 655
  • Archeology 233
  • Small Animals 103
  • Genetics 260
  • Ecology 117
Replace Emmanuel Gaudry with:
Emmanuel Gaudry France
SIBYL RAE BUCHELI United States
Sasha C. Voss Australia
Y.Z. Erzinçlioğlu United Kingdom
Neal H. Haskell United States
Néstor Centeno Argentina
Anna Mądra‐Bielewicz Poland
Blanca Cifrián Spain
Cátia Antunes de Mello-Patiu Brazil
Devinder Singh India
NH Haskell relative to Emmanuel Gaudry France Emmanuel Gaudry's profile →
Citations per field
00.5×1.5×2×2.4×
Emmanuel Gaudry · 1×
Citations per year

Countries citing papers authored by NH Haskell

Since Specialization
Citations

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

Fields of papers citing papers by NH Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside NH Haskell, 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 NH Haskell Line = papers co-authored together NH Haskell links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Using Accumulated Degree-Days to Estimate the Postmortem Interval from Decomposed Human Remains
Hit paper breakdown →
2005498
2 1994108
3 198965
4 198923
5 200422
6 200020
7 199813
8 19962

About NH Haskell

NH Haskell is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Ecology, Nature and Landscape Conservation and Genetics, having authored 8 papers that have together received 751 indexed citations. Recurring topics across this work include Forensic Entomology and Diptera Studies (5 papers), Diptera species taxonomy and behavior (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Fossil Insects in Amber (1 paper), Fish Ecology and Management Studies (1 paper), Freshwater macroinvertebrate diversity and ecology (1 paper), Subterranean biodiversity and taxonomy (1 paper) and Insect Utilization and Effects (1 paper). The work is most often cited by research in Insect Science (655 citations), Archeology (233 citations), Small Animals (103 citations), Genetics (260 citations) and Ecology (117 citations). NH Haskell has collaborated with scholars based in United States. Frequent co-authors include Mary S. Megyesi, Wayne D. Lord, ML Lee Goff, JE Pless, Ralph E. Williams, Robert D. Hall, Kenneth G. Schoenly, Curtice R. Griffin and Robert A. Browne. Their work appears in journals such as Journal of Forensic Sciences, Copeia and Journal of Herpetology.

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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