Tim Furche

76 papers receiving 848 citations

Peers

Tim Furche
Comparison fields: 5 of 61
  • Signal Processing 284
  • Computer Networks and Communications 594
  • Artificial Intelligence 671
  • Information Systems 423
  • Management Science and Operations Research 144
Replace Marie-Christine Rousset with:
Marie-Christine Rousset France
Songyun Duan United States
Valter Crescenzi Italy
Norman May Germany
Davide Martinenghi Italy
Maya Ramanath India
Yeye He United States
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Citations per field
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Citations per year

Countries citing papers authored by Tim Furche

Since Specialization
Citations

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

Fields of papers citing papers by Tim Furche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002166
2 200569
3 201257
4 201451
5 201648
6 200638
7 201234
8 200533
9 201230
10 200523
11 200721
12 200420
13 201220
14 201319
15
Symmetry in XPath
200218
16 201517
17 201117
18 201016
19 200416
20
Xcerpt and visXcerpt: Twin Query Languages for the Semantic Web
200414

About Tim Furche

Tim Furche is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 82 papers that have together received 987 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (52 papers), Semantic Web and Ontologies (44 papers), Web Data Mining and Analysis (31 papers), Data Management and Algorithms (27 papers), Data Quality and Management (11 papers), Algorithms and Data Compression (10 papers), Natural Language Processing Techniques (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Signal Processing (284 citations), Computer Networks and Communications (594 citations), Artificial Intelligence (671 citations), Information Systems (423 citations) and Management Science and Operations Research (144 citations). Tim Furche has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include François Bry, Georg Gottlob, Dan Olteanu, Christian Schallhart, Giovanni Grasso, Holger Meuss, Giorgio Orsi, Sebastian Schaffert, Andrew Jon Sellers and James A Bailey. Their work appears in journals such as Lecture notes in computer science, Proceedings of the VLDB Endowment, The VLDB Journal, Information Systems and ACM Transactions on the Web.

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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