Thomas M. Massie

1.2k total citations · 1 hit paper
6 papers, 772 citations indexed

About

Thomas M. Massie is a scholar working on Ecology, Genetics and Computer Networks and Communications. According to data from OpenAlex, Thomas M. Massie has authored 6 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, 3 papers in Genetics and 2 papers in Computer Networks and Communications. Recurrent topics in Thomas M. Massie's work include Evolution and Genetic Dynamics (3 papers), Animal Ecology and Behavior Studies (2 papers) and Ecosystem dynamics and resilience (2 papers). Thomas M. Massie is often cited by papers focused on Evolution and Genetic Dynamics (3 papers), Animal Ecology and Behavior Studies (2 papers) and Ecosystem dynamics and resilience (2 papers). Thomas M. Massie collaborates with scholars based in Switzerland, Germany and France. Thomas M. Massie's co-authors include Florian Altermatt, Mikael Pontarp, Owen L. Petchey, Frank Pennekamp, Gian Marco Palamara, Aurélie Garnier, Emanuel A. Fronhofer, Elvira Mächler, Katherine Horgan and Mathew Seymour and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Thomas M. Massie

6 papers receiving 766 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Biodiversity increases and decreases ecosystem stability

2018 368 citations Frank Pennekamp, Mikael Pontarp et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thomas M. Massie Switzerland	6	353	254	235	166	165	6	772
Gian Marco Palamara Switzerland	8	310 0.9×	253 1.0×	253 1.1×	176 1.1×	165 1.0×	10	752
Chris Ware Australia	17	626 1.8×	340 1.3×	205 0.9×	211 1.3×	234 1.4×	30	1.1k
Lynn Govaert Belgium	13	356 1.0×	183 0.7×	225 1.0×	225 1.4×	93 0.6×	30	855
Allison K. Barner United States	13	271 0.8×	151 0.6×	161 0.7×	204 1.2×	96 0.6×	15	577
Jennifer Mattei United States	6	334 0.9×	135 0.5×	309 1.3×	236 1.4×	95 0.6×	15	733
Jaime Ashander United States	10	245 0.7×	173 0.7×	139 0.6×	174 1.0×	204 1.2×	14	674
Elaine K. Harding United States	8	484 1.4×	279 1.1×	449 1.9×	258 1.6×	102 0.6×	11	893
Robert W. Martin United Kingdom	10	718 2.0×	234 0.9×	226 1.0×	94 0.6×	192 1.2×	20	948
Annabelle Cuttelod United Kingdom	13	543 1.5×	234 0.9×	490 2.1×	223 1.3×	231 1.4×	16	1.0k
Jill McGrady‐Steed United States	7	432 1.2×	175 0.7×	375 1.6×	267 1.6×	73 0.4×	7	804

Countries citing papers authored by Thomas M. Massie

Since Specialization

Citations

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

Fields of papers citing papers by Thomas M. Massie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Massie. 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 Thomas M. Massie. The network helps show where Thomas M. Massie may publish in the future.

Co-authorship network of co-authors of Thomas M. Massie

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Massie. A scholar is included among the top collaborators of Thomas M. Massie 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 Thomas M. Massie. Thomas M. Massie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Pennekamp, Frank, Mikael Pontarp, Andrea Tabi, et al.. (2018). Biodiversity increases and decreases ecosystem stability. Nature. 563(7729). 109–112. 368 indexed citations breakdown →

2.

Petchey, Owen L., Mikael Pontarp, Thomas M. Massie, et al.. (2015). The ecological forecast horizon, and examples of its uses and determinants. Ecology Letters. 18(7). 597–611. 207 indexed citations

3.

Massie, Thomas M., et al.. (2015). Enhanced Moran effect by spatial variation in environmental autocorrelation. Nature Communications. 6(1). 5993–5993. 22 indexed citations

4.

Altermatt, Florian, Emanuel A. Fronhofer, Aurélie Garnier, et al.. (2014). Big answers from small worlds: a user's guide for protist microcosms as a model system in ecology and evolution. Methods in Ecology and Evolution. 6(2). 218–231. 126 indexed citations

5.

Massie, Thomas M., et al.. (2013). Complex Transient Dynamics of Stage-Structured Populations in Response to Environmental Changes. The American Naturalist. 182(1). 103–119. 5 indexed citations

6.

Massie, Thomas M., Bernd Blasius, Guntram Weithoff, Ursula Gaedke, & Gregor F. Fussmann. (2010). Cycles, phase synchronization, and entrainment in single-species phytoplankton populations. Proceedings of the National Academy of Sciences. 107(9). 4236–4241. 44 indexed citations

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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