David Taniar

342 papers receiving 4.4k citations

David Taniar's Hit Papers

Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images 2024 · 175 citations
1750+1Years since publication50100150

Peers

David Taniar
Comparison fields: 5 of 180
  • Signal Processing 1.6k
  • Geography, Planning and Development 504
  • Computer Networks and Communications 1.7k
  • Information Systems 1.1k
  • Transportation 275
Replace Jianliang Xu with:
Jianliang Xu Hong Kong
Shashi Shekhar United States
Wenjie Zhang China
Goce Trajcevski United States
Chao Zhang China
Jae-Gil Lee South Korea
Max J. Egenhofer United States
Mao Ye China
Bin Cui China
Raghu Ramakrishnan United States
David Taniar relative to Jianliang Xu Hong Kong Jianliang Xu's profile →
Citations per field
00.5×1.5×1.8×
Jianliang Xu · 1×
Citations per year

Countries citing papers authored by David Taniar

Since Specialization
Citations

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

Fields of papers citing papers by David Taniar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 364 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
Hit paper breakdown →
2024175
2 2016140
3 200595
4 202190
5 200990
6 200886
7 202074
8 200970
9 200465
10 200564
11 200963
12 201062
13 200559
14 200857
15 201352
16 200851
17 200549
18 201349
19 200749
20 200246

About David Taniar

David Taniar is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 364 papers that have together received 4.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (133 papers), Advanced Database Systems and Queries (86 papers), Semantic Web and Ontologies (42 papers), Geographic Information Systems Studies (36 papers), Distributed and Parallel Computing Systems (28 papers), Data Mining Algorithms and Applications (27 papers), Service-Oriented Architecture and Web Services (27 papers) and Caching and Content Delivery (27 papers). The work is most often cited by research in Signal Processing (1.6k citations), Geography, Planning and Development (504 citations), Computer Networks and Communications (1.7k citations), Information Systems (1.1k citations) and Transportation (275 citations). David Taniar has collaborated with scholars based in Australia, Japan and Italy. Frequent co-authors include Wenny Rahayu, J. Wenny Rahayu, Maytham Safar, Bala Srinivasan, Agustinus Borgy Waluyo, Marina L. Gavrilova, Bernady O. Apduhan, Muhammad Aamir Cheema, Kefeng Xuan and Geng Zhao. Their work appears in journals such as Information Sciences, World Wide Web, Journal of Computer and System Sciences, International Journal of Web and Grid Services and Future Generation Computer Systems.

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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