Per Ahlgren

1.9k total citations · 1 hit paper
59 papers, 1.4k citations indexed

About

Per Ahlgren is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Information Systems. According to data from OpenAlex, Per Ahlgren has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics, Probability and Uncertainty, 19 papers in Artificial Intelligence and 18 papers in Information Systems. Recurrent topics in Per Ahlgren's work include scientometrics and bibliometrics research (20 papers), Advanced Text Analysis Techniques (11 papers) and Information Retrieval and Search Behavior (8 papers). Per Ahlgren is often cited by papers focused on scientometrics and bibliometrics research (20 papers), Advanced Text Analysis Techniques (11 papers) and Information Retrieval and Search Behavior (8 papers). Per Ahlgren collaborates with scholars based in Sweden, China and Belgium. Per Ahlgren's co-authors include Bo Jarneving, Ronald Rousseau, Cristian Colliander, D. A. I. Goring, Olle Persson, Ludo Waltman, Liying Yang, Ulf Germgård, Ting Yue and Johan Lyhagen and has published in prestigious journals such as ChemSusChem, Industrial Crops and Products and Cellulose.

In The Last Decade

Per Ahlgren

56 papers receiving 1.3k citations

Hit Papers

Requirements for a cocitation similarity measure, with sp... 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient
    2003 589 citations Per Ahlgren, Ronald Rousseau et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per Ahlgren Sweden 16 344 256 244 228 197 59 1.4k
Yu‐Wei Chang Taiwan 20 349 1.0× 142 0.6× 306 1.3× 111 0.5× 17 0.1× 68 1.7k
Stephen Carley United States 17 207 0.6× 75 0.3× 114 0.5× 123 0.5× 28 0.1× 33 1.1k
Ching‐Wen Chen Taiwan 20 28 0.1× 139 0.5× 154 0.6× 146 0.6× 76 0.4× 89 1.4k
Antonio Perianes‐Rodríguez Spain 14 324 0.9× 100 0.4× 183 0.8× 45 0.2× 5 0.0× 45 1.5k
Finbarr Murphy Ireland 25 61 0.2× 198 0.8× 225 0.9× 189 0.8× 42 0.2× 88 1.9k
Jian Qin United States 17 161 0.5× 142 0.6× 326 1.3× 46 0.2× 7 0.0× 102 1.2k
Jinshan Wu China 17 217 0.6× 117 0.5× 85 0.3× 17 0.1× 6 0.0× 52 929
Fei Xiong China 27 22 0.1× 460 1.8× 420 1.7× 63 0.3× 22 0.1× 132 2.1k
Aaron Smith United States 27 35 0.1× 87 0.3× 45 0.2× 179 0.8× 24 0.1× 116 2.2k
Martin Mullins Ireland 22 47 0.1× 181 0.7× 199 0.8× 126 0.6× 30 0.2× 72 1.5k

Countries citing papers authored by Per Ahlgren

Since Specialization
Citations

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

Fields of papers citing papers by Per Ahlgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Ahlgren

This figure shows the co-authorship network connecting the top 25 collaborators of Per Ahlgren. A scholar is included among the top collaborators of Per Ahlgren 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 Per Ahlgren. Per Ahlgren 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.
Ahlgren, Per, et al.. (2024). Normalization of direct citations for clustering in publication-level networks: evaluation of six approaches. Scientometrics. 129(3). 1949–1968. 1 indexed citations
2.
Ahlgren, Per, et al.. (2024). Seed‐based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co‐citations, and PubMed‐related article score. Journal of the Association for Information Science and Technology. 75(13). 1453–1465.
3.
Ahlgren, Per, et al.. (2023). BATTERY 2030+ and its Research Roadmap: A Bibliometric Analysis. ChemSusChem. 16(21). e202300333–e202300333. 5 indexed citations
4.
Lyhagen, Johan & Per Ahlgren. (2020). Uncertainty and the ranking of economics journals. Scientometrics. 125(3). 2545–2560. 6 indexed citations
5.
Ahlgren, Per, et al.. (2020). Enhancing direct citations: A comparison of relatedness measures for community detection in a large set of PubMed publications. Quantitative Science Studies. 1(2). 714–729. 20 indexed citations
6.
Shen, Zhesi, et al.. (2019). How does author ethnic diversity affect scientific impact? A study of nanoscience and nanotechnology.. 2606–2607. 1 indexed citations
7.
Ahlgren, Per, et al.. (2019). Granularity of algorithmically constructed publication-level classifications of research publications: Identification of specialties. Quantitative Science Studies. 1(1). 207–238. 19 indexed citations
8.
Ahlgren, Per, et al.. (2018). Measuring the interdisciplinarity of research topics. Leiden Repository (Leiden University). 134–142. 1 indexed citations
9.
Yue, Ting, et al.. (2018). A comparison of citation disciplinary structure in science between the G7 countries and the BRICS countries. Journal of Data and Information Science. 3(3). 14–30. 7 indexed citations
10.
11.
Ahlgren, Per, et al.. (2016). Document Type Profiles in Nature , Science , and PNAS : Journal and Country Level. Journal of Data and Information Science. 1(3). 27–41. 6 indexed citations
12.
Yang, Guo-liang, et al.. (2015). Grading Countries/Territories using DEA frontiers.. 436–447. 1 indexed citations
13.
Ahlgren, Per. (2014). The SNIP indicator in relation to the Norwegian model. 6–13. 1 indexed citations
14.
Ahlgren, Per, et al.. (2013). Research collaboration between Stockholm University and other Swedish academic institutions : a bibliometric study to support decisions on library collaboration. 4. 49–60. 1 indexed citations
15.
Ahlgren, Per & Olle Persson. (2012). Globalization of citations and collaboration : a study of twelve journals. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1. 23–32. 2 indexed citations
16.
Ahlgren, Per. (2008). Den norska modellen sett från Sverige. 31(1). 18–18.
17.
Ahlgren, Per, et al.. (2006). Measuring retrieval effectiveness with incomplete relevance data. Borås Academic Digital Archive (University of Borås). 74–78. 3 indexed citations
18.
Ahlgren, Per, et al.. (2005). Acid hydrolysis of some industrial pulps: effect of hydrolysis conditions and raw material. Cellulose. 12(2). 177–183. 95 indexed citations
19.
Ahlgren, Per, et al.. (1993). Selecting a potential Swedish fibre crop: fibres and fines in different crops as an indication of their usefulness in pulp and paper production. Industrial Crops and Products. 2(1). 39–45. 17 indexed citations
20.
Ahlgren, Per, et al.. (1975). Kraft pulping of pine earlywood and latewood. 57(2). 57–59. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yu‐Wei Chang Breakdown of academic impact, for papers by Stephen Carley Breakdown of academic impact, for papers by Ching‐Wen Chen Breakdown of academic impact, for papers by Antonio Perianes‐Rodríguez Breakdown of academic impact, for papers by Finbarr Murphy Breakdown of academic impact, for papers by Jian Qin Breakdown of academic impact, for papers by Jinshan Wu Breakdown of academic impact, for papers by Fei Xiong Breakdown of academic impact, for papers by Aaron Smith Breakdown of academic impact, for papers by Martin Mullins
Rankless by CCL
2026