Daniel Tunkelang

543 total citations
16 papers, 293 citations indexed

About

Daniel Tunkelang is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Tunkelang has authored 16 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Tunkelang's work include Information Retrieval and Search Behavior (6 papers), Semantic Web and Ontologies (5 papers) and Web Data Mining and Analysis (5 papers). Daniel Tunkelang is often cited by papers focused on Information Retrieval and Search Behavior (6 papers), Semantic Web and Ontologies (5 papers) and Web Data Mining and Analysis (5 papers). Daniel Tunkelang collaborates with scholars based in United States and United Kingdom. Daniel Tunkelang's co-authors include Bruce M. Maggs, Paul S. Heckbert, Daniel D. Sleator, Shih‐Wen Huang, Karrie Karahalios, Mike Thelwall, Bill Kules, R. Capra, Gene Golovchinsky and Ryen W. White and has published in prestigious journals such as Information Processing & Management, IT Professional and ACM SIGIR Forum.

In The Last Decade

Daniel Tunkelang

13 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Tunkelang United States	6	131	123	82	37	36	16	293
Lynda Tamine France	11	186 1.4×	154 1.3×	44 0.5×	25 0.7×	37 1.0×	44	322
Laurens De Vocht Belgium	8	204 1.6×	105 0.9×	41 0.5×	67 1.8×	29 0.8×	37	265
Ksenia Konyushkova Finland	6	141 1.1×	99 0.8×	74 0.9×	34 0.9×	23 0.6×	11	259
Roberto Mirizzi Italy	7	240 1.8×	268 2.2×	66 0.8×	42 1.1×	25 0.7×	16	353
Ingo Frommholz United Kingdom	10	189 1.4×	114 0.9×	43 0.5×	22 0.6×	22 0.6×	57	308
Marieke Guy United Kingdom	6	129 1.0×	187 1.5×	57 0.7×	20 0.5×	15 0.4×	22	330
Marc Bron Netherlands	11	176 1.3×	174 1.4×	39 0.5×	24 0.6×	32 0.9×	31	310
Pu‐Jen Cheng Taiwan	12	267 2.0×	203 1.7×	82 1.0×	39 1.1×	44 1.2×	46	404
Ba-Quy Vuong Singapore	9	147 1.1×	191 1.6×	42 0.5×	47 1.3×	16 0.4×	9	385
Thian‐Huat Ong United States	6	163 1.2×	223 1.8×	77 0.9×	49 1.3×	26 0.7×	8	351

Countries citing papers authored by Daniel Tunkelang

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Tunkelang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Tunkelang

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

All Works

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16 of 16 papers shown

1.

Huang, Shih‐Wen, Daniel Tunkelang, & Karrie Karahalios. (2014). The role of network distance in linkedin people search. 867–870. 8 indexed citations

2.

Tunkelang, Daniel. (2014). Web science. 2–2. 1 indexed citations

3.

Tunkelang, Daniel, et al.. (2013). COMPUTER INFORMATION RETRIEVAL.

4.

White, Ryen W., et al.. (2013). Introduction to special issue on human–computer information retrieval. Information Processing & Management. 49(5). 1053–1057.

5.

Capra, R., et al.. (2012). HCIR 2011. ACM SIGIR Forum. 45(2). 102–107. 1 indexed citations

6.

Tunkelang, Daniel. (2011). Recommendations as a conversation with the user. 11–12. 5 indexed citations

7.

Tunkelang, Daniel. (2009). Design for interaction. 969–970. 4 indexed citations

8.

Tunkelang, Daniel. (2009). Faceted Search. 1(1). 1–80. 78 indexed citations

9.

Tunkelang, Daniel & Mike Thelwall. (2009). Synthesis Lectures on Information Concepts, Retrieval, and Services. 3 indexed citations

10.

Tunkelang, Daniel. (2009). Faceted Search. 110 indexed citations

11.

Tunkelang, Daniel. (2009). Reconsidering relevance and embracing interaction. Bulletin of the American Society for Information Science and Technology. 36(1). 20–23. 1 indexed citations

12.

Tunkelang, Daniel. (2009). Faceted Search. 39 indexed citations

13.

Tunkelang, Daniel, et al.. (2007). Enterprise Information Access and the User Experience. IT Professional. 9(1). 21–28. 1 indexed citations

14.

Tunkelang, Daniel, et al.. (2004). Processing search queries in a distributed environment. 492–494. 2 indexed citations

15.

Tunkelang, Daniel, Daniel D. Sleator, Paul S. Heckbert, & Bruce M. Maggs. (1999). A Numerical Optimization Approach to General Graph Drawing. 19 indexed citations

16.

Tunkelang, Daniel. (1994). A Practical Approach to Drawing Undirected Graphs. Defense Technical Information Center (DTIC). 21 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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