Alan Medlar

2.9k total citations
43 papers, 1.1k citations indexed

About

Alan Medlar is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Alan Medlar has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Information Systems and 12 papers in Molecular Biology. Recurrent topics in Alan Medlar's work include Recommender Systems and Techniques (8 papers), Advanced Bandit Algorithms Research (8 papers) and Expert finding and Q&A systems (5 papers). Alan Medlar is often cited by papers focused on Recommender Systems and Techniques (8 papers), Advanced Bandit Algorithms Research (8 papers) and Expert finding and Q&A systems (5 papers). Alan Medlar collaborates with scholars based in Finland, United Kingdom and Switzerland. Alan Medlar's co-authors include Liisa Holm, Petri Törönen, Dorota Głowacka, Robert Kleta, Horia Stanescu, Tuomas Aivelo, Ari Löytynoja, Detlef Böckenhauer, Andres Veidenberg and Nicholas Lench and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Bioinformatics.

In The Last Decade

Alan Medlar

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Medlar Finland 13 512 161 145 116 107 43 1.1k
Seth Carbon United States 9 1.2k 2.4× 270 1.7× 83 0.6× 132 1.1× 10 0.1× 16 1.8k
Kai Dang China 24 709 1.4× 162 1.0× 71 0.5× 86 0.7× 16 0.1× 73 1.6k
Nitesh Turaga United States 6 1.1k 2.1× 227 1.4× 181 1.2× 113 1.0× 6 0.1× 6 1.7k
Carl Eberhard United States 4 969 1.9× 234 1.5× 187 1.3× 100 0.9× 6 0.1× 5 1.6k
Greg Von Kuster Germany 2 905 1.8× 226 1.4× 179 1.2× 98 0.8× 6 0.1× 2 1.5k
Timo M. Breit Netherlands 30 1.4k 2.8× 188 1.2× 86 0.6× 445 3.8× 11 0.1× 99 2.9k
Haiming Tang United States 9 1.2k 2.4× 187 1.2× 66 0.5× 166 1.4× 8 0.1× 31 2.0k
Seth Falcon United States 8 1.2k 2.4× 200 1.2× 64 0.4× 173 1.5× 7 0.1× 14 2.2k
Hailiang Mei Netherlands 26 1.5k 3.0× 258 1.6× 87 0.6× 265 2.3× 11 0.1× 133 2.6k
Brad Marshall United States 4 954 1.9× 212 1.3× 64 0.4× 119 1.0× 8 0.1× 4 1.4k

Countries citing papers authored by Alan Medlar

Since Specialization
Citations

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

Fields of papers citing papers by Alan Medlar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Medlar

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

All Works

20 of 20 papers shown
1.
Medlar, Alan, et al.. (2024). Sample, Nudge and Rank: Exploiting Interpretable GAN Controls for Exploratory Search. 582–596. 1 indexed citations
2.
Medlar, Alan, Denis Kotkov, & Dorota Głowacka. (2024). Unexplored Frontiers: A Review of Empirical Studies of Exploratory Search. ACM SIGIR Forum. 58(1). 1–19. 1 indexed citations
3.
Kotkov, Denis, et al.. (2024). On the Negative Perception of Cross-domain Recommendations and Explanations. 2102–2113. 1 indexed citations
4.
5.
Kotkov, Denis, Alan Medlar, & Dorota Głowacka. (2023). Rethinking Serendipity in Recommender Systems. 383–387. 10 indexed citations
6.
Liu, Yang, Alan Medlar, & Dorota Głowacka. (2022). Lexical ambiguity detection in professional discourse. Information Processing & Management. 59(5). 103000–103000. 12 indexed citations
7.
Ojala, Teija, Andrew Lindford, Kirsi Savijoki, et al.. (2020). Metatranscriptomic assessment of burn wound infection clearance. Clinical Microbiology and Infection. 27(1). 144–146. 7 indexed citations
8.
Standing, Ariane, Ying Hong, Coro Paisán‐Ruiz, et al.. (2019). TRAP1 chaperone protein mutations and autoinflammation. Life Science Alliance. 3(2). e201900376–e201900376. 12 indexed citations
9.
Törönen, Petri, Alan Medlar, & Liisa Holm. (2018). PANNZER2: a rapid functional annotation web server. Nucleic Acids Research. 46(W1). W84–W88. 318 indexed citations
10.
Medlar, Alan & Liisa Holm. (2018). TOPAZ: asymmetric suffix array neighbourhood search for massive protein databases. BMC Bioinformatics. 19(1). 278–278. 5 indexed citations
11.
Aivelo, Tuomas & Alan Medlar. (2017). Opportunities and challenges in metabarcoding approaches for helminth community identification in wild mammals. Parasitology. 145(5). 608–621. 32 indexed citations
12.
Mishra, Pashupati P., Alan Medlar, Liisa Holm, & Petri Törönen. (2016). Robust multi-group gene set analysis with few replicates. BMC Bioinformatics. 17(1). 526–526. 4 indexed citations
13.
Standing, Ariane, Dessislava Malinova, Ying Hong, et al.. (2016). Autoinflammatory periodic fever, immunodeficiency, and thrombocytopenia (PFIT) caused by mutation in actin-regulatory gene WDR1 . The Journal of Experimental Medicine. 214(1). 59–71. 105 indexed citations
14.
Medlar, Alan, et al.. (2015). Visualizing user model in exploratory search tasks. International Conference on Machine Learning. 46–47.
15.
Aivelo, Tuomas, Alan Medlar, Ari Löytynoja, Juha Laakkonen, & Jukka Jernvall. (2015). Tracking year-to-year changes in intestinal nematode communities of rufous mouse lemurs (Microcebus rufus). Parasitology. 142(8). 1095–1107. 10 indexed citations
16.
Veidenberg, Andres, Alan Medlar, & Ari Löytynoja. (2015). Wasabi: An Integrated Platform for Evolutionary Sequence Analysis and Data Visualization. Molecular Biology and Evolution. 33(4). 1126–1130. 42 indexed citations
17.
Medlar, Alan, et al.. (2015). Balancing Exploration and Exploitation. 3. 1703–1706. 11 indexed citations
18.
Medlar, Alan, Tuomas Aivelo, & Ari Löytynoja. (2014). Séance: reference-based phylogenetic analysis for 18S rRNA studies. BMC Evolutionary Biology. 14(1). 235–235. 7 indexed citations
19.
Hersheson, Joshua, Niccolò E. Mencacci, Mary B. Davis, et al.. (2012). Mutations in the autoregulatory domain of β‐tubulin 4a cause hereditary dystonia. Annals of Neurology. 73(4). 546–553. 120 indexed citations
20.
Böckenhauer, Detlef, Alan Medlar, Emma Ashton, Robert Kleta, & Nicholas Lench. (2011). Genetic testing in renal disease. Pediatric Nephrology. 27(6). 873–883. 39 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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