Thomas Place

436 citations
19 papers · 76 · h-index 5

Impact in

Papers in

Journals
Logical Methods in Computer Science (3 papers)ACM Transactions on Computational Logic (2 papers)New Review of Information Networking (1 paper)SHILAP Revista de lepidopterología (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)
Partner nations
FranceNetherlands

In The Last Decade

Thomas Place

18 papers receiving 72 citations

Peers

Thomas Place
Comparison fields: 5 of 18
  • Computational Theory and Mathematics 57
  • Artificial Intelligence 53
  • Computer Science Applications 4
  • Conservation 2
  • Information Systems 9
Replace Nikola Beneš with:
Nikola Beneš Czechia
Sylvain Schmitz France
K. Narayan Kumar India
Soonho Kong United States
Dieter Hofbauer Germany
Morgan Magnin France
Katarina Britz South Africa
Stefan Göller Germany
Robert Mercaş Germany
Benjamin Monmege France
Thomas Place relative to Nikola Beneš Czechia Nikola Beneš's profile →
Citations per field
00.5×
Nikola Beneš · 1×
Citations per year

Countries citing papers authored by Thomas Place

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Place

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Thomas Place, 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 Thomas Place Line = papers co-authored together Thomas Place links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201618
2 20018
3 20158
4 20145
5 20195
6 20154
7 20104
8 20183
9 20173
10
Deciding Definability in FO 2 (<) (or XPath) on Trees.
20103
11 20113
12 20233
13 20222
14 19992
15 20142
16 20241
17 20251
18
DECIDING DEFINABILITY IN FO 2 (< v , < h ) ON TREES
20151
19 20250

About Thomas Place

Thomas Place is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Management Information Systems and Information Systems, having authored 19 papers that have together received 76 indexed citations. Recurring topics across this work include semigroups and automata theory (16 papers), Logic, programming, and type systems (13 papers), Algorithms and Data Compression (6 papers), DNA and Biological Computing (5 papers), Advanced Algebra and Logic (4 papers), Natural Language Processing Techniques (2 papers), Semantic Web and Ontologies (1 paper) and Library Science and Information Systems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (57 citations), Artificial Intelligence (53 citations), Computer Science Applications (4 citations), Conservation (2 citations) and Information Systems (9 citations). Thomas Place has collaborated with scholars based in France and Netherlands. Frequent co-authors include Marc Zeitoun and Luc Segoufin. Their work appears in journals such as Logical Methods in Computer Science, ACM Transactions on Computational Logic, New Review of Information Networking, SHILAP Revista de lepidopterología and SPIRE - Sciences Po Institutional REpository.

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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