Jan Hill

459 total citations
36 papers, 327 citations indexed

About

Jan Hill is a scholar working on Mechanical Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Jan Hill has authored 36 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 13 papers in Biomedical Engineering and 12 papers in Mechanics of Materials. Recurrent topics in Jan Hill's work include Lignin and Wood Chemistry (11 papers), Material Properties and Processing (11 papers) and Mineral Processing and Grinding (9 papers). Jan Hill is often cited by papers focused on Lignin and Wood Chemistry (11 papers), Material Properties and Processing (11 papers) and Mineral Processing and Grinding (9 papers). Jan Hill collaborates with scholars based in Sweden, United Kingdom and Norway. Jan Hill's co-authors include Anders Karlström, Leena‐Sisko Johansson, Andrew Thomas, Rachel Mason‐Jones, S. D. Comis, Andrew Winter, J. Stephen, Timothy J. Mitchell, M J Tarlow and Per Engstrand and has published in prestigious journals such as Infection and Immunity, Analytica Chimica Acta and International Journal of Production Research.

In The Last Decade

Jan Hill

34 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Hill Sweden	8	88	69	61	56	52	36	327
Fan Chen China	10	92 1.0×	157 2.3×	12 0.2×	14 0.3×	63 1.2×	22	362
Xianguang Li China	10	25 0.3×	101 1.5×	11 0.2×	44 0.8×	30 0.6×	23	333
Chunliang Zhang China	9	41 0.5×	45 0.7×	37 0.6×	80 1.4×		20	381
Sang Yong Park South Korea	11	93 1.1×	140 2.0×	11 0.2×	113 2.0×	2 0.0×	49	520
István Budai Hungary	12	44 0.5×	172 2.5×	24 0.4×	13 0.2×	16 0.3×	36	389
Magnus Edinger Denmark	14	337 3.8×	111 1.6×	42 0.7×	28 0.5×	4 0.1×	17	634
Feng Hou China	12	71 0.8×	42 0.6×	21 0.3×	9 0.2×	5 0.1×	31	505
Sadeq Salman Iraq	11	134 1.5×	174 2.5×	19 0.3×	22 0.4×	20 0.4×	14	421
Shariful Islam Bangladesh	12	28 0.3×	44 0.6×	53 0.9×	35 0.6×	1 0.0×	46	401
G. Ranga Janardhana India	10	146 1.7×	226 3.3×	18 0.3×	32 0.6×	15 0.3×	51	414

Countries citing papers authored by Jan Hill

Since Specialization

Citations

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

Fields of papers citing papers by Jan Hill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hill

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Karlström, Anders, Jan Hill, & Lars Johansson. (2023). Data-driven soft sensors in refining processes – Pulp property estimation using ARX – models. BioResources. 18(4). 8163–8186. 2 indexed citations

Karlström, Anders, Jan Hill, & Lars Johansson. (2023). Data-driven soft sensors in pulp refining processes using artificial neural networks. BioResources. 19(1). 1030–1057.

Hill, Jan, et al.. (2020). On the development of the refiner mechanical pulping process – a review. Nordic Pulp & Paper Research Journal. 35(1). 1–17. 18 indexed citations

Bengtsson, Fredrik, Anders Karlström, Jan Hill, & L. S. O. Johansson. (2019). Raw data for Tensile index estimations from a CD72-refiner. Chalmers Research (Chalmers University of Technology). 1 indexed citations

Karlström, Anders & Jan Hill. (2018). Control strategies for refiners Part I: Soft sensors for CD-refiner control. Nordic Pulp & Paper Research Journal. 33(1). 28–43. 3 indexed citations

Hill, Jan, et al.. (2018). TMP properties and refining conditions in a CD82 chip refiner. Part I: Step changes of process variables, description of the tests. Nordic Pulp & Paper Research Journal. 33(1). 69–81. 1 indexed citations

Karlström, Anders & Jan Hill. (2017). CTMP process optimization Part I: Internal and external variables impact on refiner conditions. Nordic Pulp & Paper Research Journal. 32(1). 36–45.

Karlström, Anders & Jan Hill. (2017). CTMP Process Optimization Part II: Reliability in Pulp and Handsheet Measurements. Nordic Pulp & Paper Research Journal. 32(2). 253–265. 7 indexed citations

Hill, Jan, et al.. (2017). ATMP pulping of Norway spruce – pulp property development and energy efficiency. Nordic Pulp & Paper Research Journal. 32(1). 70–86. 3 indexed citations

10.

Karlström, Anders, et al.. (2016). Pulp property development Part III: Fiber residence time and consistency profile impact on specific energy and pulp properties. Nordic Pulp & Paper Research Journal. 31(2). 300–307. 7 indexed citations

11.

Karlström, Anders, et al.. (2015). Refiner optimization and control Part IV: Long term follow up of control performance in TMP processes. Nordic Pulp & Paper Research Journal. 30(3). 426–435. 4 indexed citations

12.

Karlström, Anders, et al.. (2015). Pulp property development Part I: Interlacing undersampled pulp properties and TMP process data using piece-wise linear functions. Nordic Pulp & Paper Research Journal. 30(4). 599–608. 7 indexed citations

13.

Hill, Jan, et al.. (2014). On energy efficiency in chip refining. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations

14.

Karlström, Anders & Jan Hill. (2014). Refiner optimization and control Part I: Fiber residence time and major dynamic fluctuations in TMP refining processes. Nordic Pulp & Paper Research Journal. 29(4). 635–652. 5 indexed citations

15.

Hill, Jan, et al.. (2012). Improved quality of SC magazine paper through enhanced fibre development using the ATMP process. Nordic Pulp & Paper Research Journal. 27(1). 35–41. 3 indexed citations

16.

Johansson, Leena‐Sisko, et al.. (2011). Improvement of energy efficiency in TMP refining by selective wood disintegration and targeted application of chemicals. Nordic Pulp & Paper Research Journal. 26(1). 31–46. 18 indexed citations

17.

Opedal, Mihaela Tanase, Per Stenius, Leena‐Sisko Johansson, & Jan Hill. (2011). Mechanical Pulping: Flocculation of colloidal wood extractives in process water from precompression of chips in thermomechanical pulping. Nordic Pulp & Paper Research Journal. 26(1). 64–71. 3 indexed citations

18.

Engstrand, Per, et al.. (2010). Mg(OH)(2)-based hydrogen peroxide refiner bleaching: influence of extractives content in dilution water on pulp properties and energy efficiency. Appita journal. 63(3). 218–225. 5 indexed citations

19.

Docherty, Peter, et al.. (1997). Företagsperspektivet : en analys av företagens behov av kunskap om samspelet mellan - affärsidéer, människa, teknik, organisation. 2 indexed citations

20.

Buckley, J., et al.. (1978). Chemical process optimization by computer — a self-directed chemical synthesis system. Analytica Chimica Acta. 103(4). 469–476. 33 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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