Daniel M. Herzig

555 citations
19 papers · 441 · h-index 12

Impact in

Papers in

Daniel M. Herzig

18 papers receiving 408 citations

Peers

Daniel M. Herzig
Comparison fields: 5 of 43
  • Artificial Intelligence 261
  • Information Systems 192
  • Computer Science Applications 20
  • Industrial and Manufacturing Engineering 26
  • Management Information Systems 16
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László Kovács Hungary
Boris Düdder Denmark
Joan Angelina Widians Indonesia
Dan Tofan Netherlands
Nayan B. Ruparelia United States
Mohsen Taheriyan United States
Mahmoud Boufaïda Algeria
António Garrido Spain
Paul A. Buhler United States
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Citations per year

Countries citing papers authored by Daniel M. Herzig

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Herzig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daniel M. Herzig, 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 Daniel M. Herzig Line = papers co-authored together Daniel M. Herzig links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201175
2 201951
3 200850
4
Entity Search Evaluation over Structured Web Data
201143
5
Evaluating ad-hoc object retrieval
201041
6 200929
7 201129
8
Use Cases of the Industrial Knowledge Graph at Siemens.
201828
9 201324
10 201220
11 201316
12 201012
13 201210
14
Alexa, Ask Wikidata! Voice Interaction with Knowledge Graphs using Amazon Alexa.
20175
15
One query to bind them all
20113
16
Multilingual Expert Search using Linked Open Data as Interlingual Representation.
20102
17 20182
18 20111
19
Planungsdaten schnell finden und einfach nutzen: Linked Open Data und semantische Suche im Einsatz für das KTBL-Datenangebot
20140

About Daniel M. Herzig

Daniel M. Herzig is a scholar working on Artificial Intelligence, Information Systems, Media Technology, Industrial and Manufacturing Engineering and Management Information Systems, having authored 19 papers that have together received 441 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Information Retrieval and Search Behavior (10 papers), Speech and dialogue systems (1 paper), Advanced Graph Neural Networks (1 paper), Supply Chain and Inventory Management (1 paper), Digital Transformation in Industry (1 paper), Topic Modeling (1 paper) and RFID technology advancements (1 paper). The work is most often cited by research in Artificial Intelligence (261 citations), Information Systems (192 citations), Computer Science Applications (20 citations), Industrial and Manufacturing Engineering (26 citations) and Management Information Systems (16 citations). Daniel M. Herzig has collaborated with scholars based in Germany, United Kingdom and Canada. Frequent co-authors include Peter Mika, Roi Blanco, Henry S. Thompson, Jeffrey Pound, Harry Halpin A, Peter Haase, Thanh Phuoc Tran, Thanh Tran, Andriy Nikolov and Günter Ladwig. Their work appears in journals such as Journal of Web Semantics, ACM SIGIR Forum, Semantic Web, Lecture notes in computer science and International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).

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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