Mark Sanderson

10.3k citations
254 papers · 5.2k indexed · h-index 35

Mark Sanderson

246 papers receiving 4.7k citations

Peers

Mark Sanderson
Comparison fields: 5 of 142
  • Information Systems 2.7k
  • Artificial Intelligence 2.9k
  • Signal Processing 708
  • Computer Science Applications 339
  • Geography, Planning and Development 325
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Citations per year

Countries citing papers authored by Mark Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20241
5 20240
6 20232
7 20224
8
Building a Benchmark for Task Progress in Digital Assistants
20192
9
Understanding user behavior in job and talent search: an initial investigation
201710
10
Adapting Query Expansion to Search Proficiency
20120
11
Whole-Session Evaluation of Interactive Information Retrieval Systems (NII Shonan Meeting 2012-7).
20125
12
Overview of the TREC 2010 Session Track.
201012
13
From CLEF to TrebleCLEF: promoting Technology Transfer for Multilingual Information Retrieval
20072
14
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
200627
15
Information extraction from template-generated hidden web documents
20041
16
The CLEF 2003 Cross Language Image Retrieval Task.
200310
17 20021
18
Is query translation a distinct task from search
20021
19
University of Sheffield TREC-8 Q & A System
19999
20
INQUERY and TREC-7
199814

About Mark Sanderson

Mark Sanderson is a scholar working on Information Systems, Artificial Intelligence and Geography, Planning and Development, having authored 254 papers that have together received 5.2k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (104 papers), Topic Modeling (67 papers), Natural Language Processing Techniques (40 papers), Expert finding and Q&A systems (39 papers), Semantic Web and Ontologies (36 papers), Web Data Mining and Analysis (34 papers), Image Retrieval and Classification Techniques (26 papers) and Data Management and Algorithms (20 papers). The work is most often cited by research in Information Systems (2.7k citations), Artificial Intelligence (2.9k citations) and Signal Processing (708 citations). Mark Sanderson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Bruce Croft, Paul Clough, Anastasios Tombros, Justin Zobel, Hideo Joho, Azzah Al‐Maskari, Falk Scholer, W. Bruce Croft, J. Köhler and Evangelos Kanoulas. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on Information Systems, Journal of the Association for Information Science and Technology, Information Processing & Management and Information Retrieval.

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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